code: def pretrained_state_dict():
      state_dict = torch.hub.load_state_dict_from_url(
          "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth",
          progress=True,
      )
      return state_dict
  
file_path: icevision/tests/models/torchvision_models/mask_rcnn/test_predict.py
imports: import pytest
  from icevision.imports import *
  from icevision import *
  from icevision.models.torchvision import mask_rcnn
label_desc: Use image node_id 2 for calling a global function with example usage: pretrained_state_dict() and returns: state_dict